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$46K

$114.2K

$153.6K

How much do data security engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for data security engineer in Florida is $114,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $118,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data security engineer, and why are they important?

To thrive as a Data Security Engineer, you need expertise in network security, encryption, vulnerability assessment, and a solid background in computer science or information security. Familiarity with tools like SIEM systems, firewalls, intrusion detection/prevention systems (IDS/IPS), and certifications such as CISSP or CEH are often required. Strong analytical thinking, attention to detail, and effective communication skills help you navigate evolving threats and work well with cross-functional teams. These skills are essential for proactively identifying risks, implementing robust security measures, and maintaining data integrity in a dynamic technology landscape.

What are the typical challenges a data security engineer faces on the job?

Data Security Engineers commonly face challenges such as staying ahead of rapidly evolving cyber threats, managing multiple security tools, and ensuring compliance with data protection regulations. They often must respond quickly to security incidents, perform thorough investigations, and balance security needs with business objectives. The role also involves educating colleagues about safe data practices and collaborating closely with IT, development, and compliance teams. Navigating these challenges requires continuous learning, adaptability, and strong problem-solving abilities.

What is a data security engineer?

A Data Security Engineer is responsible for designing, implementing, and maintaining security measures to protect an organization's sensitive data from unauthorized access, breaches, and cyber threats. They work with encryption, firewalls, intrusion detection systems, and other security tools to safeguard data. Their duties often include conducting risk assessments, monitoring security incidents, and ensuring compliance with industry regulations. Additionally, they collaborate with IT and development teams to integrate security best practices into infrastructure and applications.

What are the most commonly searched types of Data Security Engineer jobs in Florida? The most popular types of Data Security Engineer jobs in Florida are:
What are popular job titles related to Data Security Engineer jobs in Florida? For Data Security Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Security Engineer jobs in Florida look for? The top searched job categories for Data Security Engineer jobs in Florida are:
Data Security Engineer jobs near you
Infographic showing various Data Security Engineer job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $114,166 per year, or $54.9 per hour.

Data Security Engineer

Strategic Staffing Solutions

Tampa, FL • Hybrid

$110K - $120K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description Data Security Engineer Location: Hybrid (Onsite/Remote) Type: Contract to hire Pay: $110,000-$120,000/yr W2 W2 ONLY, NO C2C Position Overview We are seeking an experienced Enterprise Data & Platform Security Engineer to lead the design, implementation, and continuous improvement of enterprise data protection and platform security capabilities. This is an engineering-focused role responsible for strengthening data security, improving governance, reducing organizational risk, and building scalable security solutions across cloud, infrastructure, identity, and enterprise platforms. The ideal candidate has a proactive engineering mindset and thrives on building security programs, automating processes, improving security posture, and driving long-term security strategy.

This is not a monitoring or SOC analyst role. Key Responsibilities Design and implement enterprise-scale data protection strategies across on-premises, cloud, SaaS, and hybrid environments. Develop security architectures supporting data classification, encryption, data loss prevention (DLP), tokenization, retention, and information protection.

Lead implementation and optimization of Microsoft Purview capabilities, including data discovery, classification, labeling, governance, and DLP. Improve enterprise visibility into sensitive data and develop remediation strategies to reduce organizational risk. Design secure architecture patterns for: Cloud platforms Kubernetes and containerized environments APIs Identity platforms Infrastructure-as-Code (IaC) CI/CD pipelines Lead complex investigations involving data exposure, insider risk, and security control failures while driving long-term remediation efforts.

Perform security assessments, threat analysis, architecture reviews, and vulnerability investigations across enterprise platforms. Develop security standards, governance frameworks, technical baselines, and operational playbooks. Create dashboards, metrics, and reporting to measure security posture, policy effectiveness, and risk reduction.

Partner with engineering, infrastructure, identity, application, privacy, and business teams to improve enterprise security maturity. Mentor junior security engineers and provide technical leadership across multiple initiatives. Drive automation, continuous improvement, and modernization of enterprise security capabilities.

Required Qualifications 7+ years of Information Security, Security Engineering, Cloud Security, or Platform Security experience. Strong experience designing and implementing enterprise data protection strategies. Hands-on experience with Microsoft Purview, including: Data Discovery Data Classification Data Labeling Data Loss Prevention (DLP) Information Protection Data Governance Experience securing cloud, hybrid, and enterprise infrastructure environments.

Strong understanding of: Identity and Access Management (IAM) Least Privilege Zero Trust principles Encryption Data Governance Experience securing Kubernetes, containers, APIs, cloud services, and CI/CD pipelines. Experience with SIEM, endpoint security, DLP, and enterprise security monitoring platforms. Strong understanding of security architecture, cloud security, networking, operating systems, and common enterprise threat vectors.

Experience investigating security incidents involving sensitive data and coordinating remediation efforts. Strong analytical, troubleshooting, documentation, and communication skills. Ability to prioritize multiple initiatives while working independently in a fast-paced environment.

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